[PDF] Top 20 The sensitivity of machine learning techniques to variations in sample size : a comparative analysis

... account the gaps in the prior research, the need for the research that we propose is clearly justified, for several ...on the issue of business efficiency, to ... See full document

... Prediction of insurance companies insolvency has arisen as an important problem in the field of financial ...applied in the past to tackle this issue are traditional ... See full document

... In the intrusion detection area the generative data process has its own difficulties, due to several reasons: (1) the features used to identify an intrusion type (label) are both ... See full document

... transmission of information and a medium of improving the telegraphic cable had to do with voice travelling through a cable and be heard in other ...was the origin of ... See full document

... Due to their zero-dimensional quantum confinement and their size (1-10nm), they own extensive absorption spectra with narrow and symmetric emission bands when they are excited by a single light source ... See full document

... indices of the test ...100. The error bars of the model inputs show the 95% confidence intervals of the PAWN indices, computed via the percentile ...method. ... See full document

... Index of the HOT lane is lower than that of the GP lanes prior to the peak hour but exceeds it at the peak ...more to the variability of the ... See full document

... After homogenizing the PDIRR in a group of plant diseases, we can used this variable in different statistical analysis related to Comparative Epidemiology, such as Analysis of variance a[r] ... See full document

... acting techniques are good to work with teenagers due to adolescents are social even though they may be quite self-conscious, they crave relationships and peer ...these techniques allows them ... See full document

... microanalyses, the results are detailed further on in Table ...expected, the processing route has a significant effect on the final microstructure of consolidated ...images of ... See full document

... series of behavioral studies directed to identifying the basic underlying dimensions of human facial traits ...evaluation. In their study, they developed a 2D model of face ... See full document

... view of the importance of accurate sample size formulas for a precise confi dence interval of the squared multiple correlation coeffi cient and computational demands ... See full document

... In the last part of the third class the teacher gave to each student four handouts to read and develop the activities pointed out in ...used to ... See full document

... Supervised Learning [16], it is given a data set and already know what our correct output should look like, having the idea that there is a relationship between the input and the ... See full document

... essential to employ low complexity algorithms due to time and memory ...distributed learning. On the one hand, they are very efficient since the weights of the artificial ... See full document

... In the k-NN method, an instance-based approach, one searches the database for k states of the system similar to the current one, and makes a temperature prediction using a ... See full document

... Driving in roundabouts has been a subject of research during recent years, and understanding the maneuvers within roundabouts is a complicated task, since various factors, such as driver–car ... See full document

... Factor analysis is applied as a data reduction or structure detection method, and is useful in the context of combining variables based on factor scores and to determine the ... See full document

... correcting the inconsistency of the AHP pairwise comparison matrix, these methods are based on artificial intelligence tools, and are BPN and ...element of the input array is ...testing ... See full document

... objective. In the first case, we analyzed the use of pitch space as a marker of quality of play to compare the suitability of 7-a- side and 8-a-side soccer ... See full document